Learning Optimizer

Steering Query Optimizers: A Practical Take on Big Data Workloads

Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc Friedman, Alekh Jindal

2021 International Conference on Management of Data | June 2021

Honorable mention for the Industry Track

DOI PDF Publication Publication

Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft

Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel

2021 International Conference on Data Engineering | April 2021

DOI Publication Publication

Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings

Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le

SIGMOD 2020: International Conference on Management of Data | February 2020

Publication Project

Towards a learning optimizer for shared clouds

Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao

Very Large Data Bases | October 2018

DOI PDF Publication Project

Steering Query Optimizers: A Practical Take on Big Data Workloads

Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc Friedman, Alekh Jindal

2021 International Conference on Management of Data | June 2021

Honorable mention for the Industry Track

DOI PDF Publication Publication

Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft

Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel

2021 International Conference on Data Engineering | April 2021

DOI Publication Publication

Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings

Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le

SIGMOD 2020: International Conference on Management of Data | February 2020

Publication Project

Towards a learning optimizer for shared clouds

Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao

Very Large Data Bases | October 2018

DOI PDF Publication Project

Towards a learning optimizer for shared clouds

Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao

Very Large Data Bases | October 2018

DOI PDF Publication Project

Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings

Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le

SIGMOD 2020: International Conference on Management of Data | February 2020

Publication Project

Steering Query Optimizers: A Practical Take on Big Data Workloads

Parimarjan Negi, Matteo Interlandi, Ryan Marcus, Mohammad Alizadeh, Tim Kraska, Marc Friedman, Alekh Jindal

2021 International Conference on Management of Data | June 2021

Honorable mention for the Industry Track

DOI PDF Publication Publication

Microlearner: A fine-grained Learning Optimizer for Big Data Workloads at Microsoft

Alekh Jindal, Shi Qiao, Rathijit Sen, Hiren Patel

2021 International Conference on Data Engineering | April 2021

DOI Publication Publication

Cost Models for Big Data Query Processing: Learning, Retrofitting, and Our Findings

Tarique Siddiqui, Alekh Jindal, Shi Qiao, Hiren Patel, Wangchao le

SIGMOD 2020: International Conference on Management of Data | February 2020

Publication Project

Towards a learning optimizer for shared clouds

Chenggang Wu, Alekh Jindal, Saeed Amizadeh, Hiren Patel, Wangchao Le, Shi Qiao, Sriram Rao

Very Large Data Bases | October 2018

DOI PDF Publication Project